Surface proteins play pivotal roles in physiological processes, including cell recognition, signal transduction, substance transport, and immune responses. However, challenges persist in characterizing abnormal surface proteins in disease states and identifying therapeutic targets, due to the low abundance of these proteins within the total proteome and the frequent presence of their complex glycosylation modifications. Recent years have witnessed the vigorous development of chemical proteomics, leading to the successful creation of various chemical probes for the labeling and characterization of cell surface proteins. These techniques have subsequently been applied to the detection of disease surface proteins and the discovery of corresponding targets. Surface protein characterization techniques based on chemical proteomics are discussed herein, focusing on the principles of amino acid-targeted labeling, proximity labeling, and glycoprotein capture. The novelty, advantages, and limitations of techniques such as targeted lysine labeling, peroxidase and photocatalytic proximity labeling, and chemical glycan capture and metabolic glycan labeling are elaborated, and their applications across various biological models and disease types are described, aiming to provide some reference for target discovery and drug development targeting surface proteins.

AIM:To investigate the effect of fibroblast growth factor 21(FGF21)on high glucose-induced oxidative stress in retinal pigment epithelial(RPE)cells and to clarify the underlying molecular mechanisms.METHODS:Single-cell sequencing data from the GEO database were analyzed to determine the expression profile of the FGF21 receptor FGFR1 in RPE cells. Human ARPE-19 cells were cultured and randomly assigned to control, high glucose(30 mmol/L), and high glucose+FGF21 analog treatment groups, with additional siFGFR1 and PI3K inhibitor groups. Cell viability in different treatment groups was assessed using CCK-8 assay, intracellular reactive oxygen species(ROS)levels were quantified using DCFH-DA fluorescent probing combined with immunofluorescence staining and flow cytometry. Transcriptome sequencing was performed on cells from the high glucose group and high glucose+FGF21 group to analyze the enrichment level of the PI3K/Akt signaling pathway. Western blotting was performed to detect phosphorylation levels of PI3K/Akt pathway components.RESULTS:Single-cell sequencing revealed specific expression of FGFR1 in RPE cells of retinal tissues from diabetic model mice. Under In vitro experiments, high glucose(30 mmol/L)exposure reduced ARPE-19 cell viability by 49.7% and increased ROS levels by approximately 2-fold. Whereas treatment with the FGF21 analog(60 ng/mL)restored cell viability and attenuated high glucose-induced ROS accumulation. Mechanistic studies demonstrated that FGFR1 knockdown inhibited the antioxidative stress of FGF21. Further validation of the molecular mechanism revealed that high glucose significantly suppressed the PI3K/Akt pathway activation(the levels of p-Akt and p-PI3K were decreased by 33.9% and 36.6%, respectively), while FGF21 effectively reversed this inhibitory effect and restored the expression of p-Akt and p-PI3K. Treatment with the PI3K inhibitor LY294002 inhibited the cytoprotective effect of FGF21 and significantly increased the ROS-positive cells, these findings confirm that PI3K/Akt signaling is indispensable downstream mechanism for FGF21 to exert its effects.CONCLUSION:FGF21 alleviates high glucose-induced oxidative stress and cellular injury in RPE cells by activating the PI3K/Akt signaling pathway through its receptor FGFR1.

Background: Preclinical studies have reported anticancer properties of sodium-glucose cotransporter 2 inhibitors (SGLT2is). We aimed to elucidate the association between the use of SGLT2is and the risk of prostate cancer among male patients with type 2 diabetes mellitus (T2DM). Methods: An active-comparator, new-user cohort design using a nationwide database between September 2014 and June 2020 was conducted on 45,601 new SGLT2i users and 205,395 new users of other glucose-lowering medications (oGLMs). In the following 1:1 propensity score matched (PSM) analysis, 35,371 SGLT2i users matched with an equivalent number of oGLM users were assessed. The hazard ratios (HRs) and 95% confidence intervals (CIs) for prostate cancer were calculated. Results: Among the cohort, prostate cancer was diagnosed in 210 out of 45,601 SGLT2i users, corresponding to a cumulative incidence of 1.0%, in contrast to 1,880 cases among 205,395 users of oGLMs, with a cumulative incidence of 1.5%. The use of SGLT2is was significantly correlated with a reduced risk of prostate cancer based on a multivariable-adjusted HR of 0.83 (95% CI, 0.71 to 0.98). PSM analysis affirmed 18% reduction in prostate cancer risk associated with SGLT2i use (HR, 0.82; 95% CI, 0.67 to 0.99). Subgroup analyses revealed that body mass index (BMI) significantly influenced the effect of SGLT2i on prostate cancer risk, with a more pronounced reduction in the subgroup with a BMI <25 kg/m2 (P=0.037). Conclusion The use of SGLT2is in Korean male patients with T2DM is associated with a lower risk of prostate cancer.

ObjectiveTo investigate whether modified Taohe Chengqitang （JTCT） treats liver fibrosis by inhibiting hepatic sinusoidal capillarization， and to verify whether its specific mechanism is related to the Homologous genes responsible for the notches along the edges of Drosophila wings（Notch） signaling pathway and endothelial nitric oxide synthase （eNOS） signaling pathway. MethodsFifty C57BL/6 mice were randomized into 5 groups： Control， model （5 mL·kg^-1·3 d^-1）， low-dose JTCT， medium-dose JTCT， and high-dose JTCT （JTCT-L，JTCT-M，JTCT-H）. Except the control group， the other groups were intraperitoneally injected with 20% carbon tetrachloride （CCl₄） olive oil solution every 3 days for 4 weeks to induce liver fibrosis. Meanwhile， JTCT-L， JTCT-M， and JTCT-H groups were administrated with JTCT by gavage at doses of 16.6， 33.3， and 66.6 g·kg^-1·d^-1， respectively， for 4 consecutive weeks （the control and model groups received equal volumes of normal saline by gavage）. Primary liver sinusoidal endothelial cells （LSECs） were isolated from rat livers through in situ perfusion of collagenase， Percoll density gradient centrifugation， and selective removal of Kupffer cells. After verification of cell phenotype， LSECs were used for experiments. For cells at the logarithmic growth phase， the small interfering RNA（siRNA） kit was used to knock down the expression of soluble guanylate cyclase （sGC） through transient transfection. Subsequently， the Notch agonist Jagged-1 was applied. Cell counting kit-8 （CCK-8） was used to examine the cytotoxicity of JTCT on LSECs. Real-time PCR and Western blot were employed to measure the expression of molecules in the Notch and eNOS signaling pathways at mRNA and protein levels， respectively. Intracellular Ca²⁺ was labeled with the fluorescent probe Fluo-4 acetoxymethyl ester（Fluo-4/AM）. ResultsThe animal experiment showed that compared with the control group， the model group exhibited hepatic steatosis， inflammatory cell infiltration， hepatocyte degeneration and necrosis， lobular structural disorder， and fibrous tissue hyperplasia in the mouse liver tissue， significantly elevated serum levels of hydroxyproline （Hyp）， alanine transaminase （ALT）， and aspartate transaminase （AST） （P<0.01）， significantly upregulated expression levels of Notch1， Hes family bHLH transcription factor 1（Hes1）， Cluster of Differentiation 31（CD31）， and von Willebrand factor（vWF） （P<0.01）， and significantly downregulated phosphorylate（p）-eNOS/eNOS ratio and sGC expression （P<0.01）. Compared with the model group， all the JTCT groups showed significantly reduced serum Hyp， ALT， and AST levels （P<0.01）， downregulated expression of Notch1， Hes1， CD31， and vWF （P<0.05， P<0.01）， and upregulated p-eNOS/eNOS ratio and sGC expression （P<0.05， P<0.01） in the liver tissue， with the JTCT-H group showing the most significant changes （P<0.01）. The cell experiment showed that compared with the LSEC-1day group， the LSEC-5day group exhibited significantly increased expression of Notch1， Hes1， CD31， and vWF （P<0.01）， significantly decreased p-eNOS/eNOS ratio and sGC expression （P<0.01）， and elevated intracellular Ca²⁺ concentration （P<0.01）. Compared with the LSEC-5day group， the JTCT group showed decreased expression of Notch1， Hes1， CD31， and vWF （P<0.01）， significantly increased p-eNOS/eNOS ratio （P<0.01）， and significantly reduced intracellular Ca²⁺ concentration （P<0.01）. No significant differences were observed in the expression of Notch1， Hes1， eNOS， p-eNOS， CD31， vWF， sGC， or intracellular Ca²⁺ concentration between the Jagged1 group and the Jagged1+JTCT group. Compared with the LSEC-5day group， the sGC knockout group （sGC-KO） showed significantly increased expression of CD31 and vWF （P<0.01）. There was no significant difference in CD31 or vWF expression between the sGC-KO group and the sGC-KO+JTCT group. ConclusionJTCT inhibits the activation of the Notch signaling pathway and restores the activity of the eNOS signaling pathway to suppress sinusoidal capillarization of LSECs， thereby treating liver fibrosis.

Multi-arm robotic-assisted uniportal pulmonary resection is an emerging minimally invasive technique that enables anatomical pulmonary resection through a single incision using a multi-arm robotic platform. This consensus was initiated by Shanghai Pulmonary Hospital and developed through a multidisciplinary national expert panel. Using evidence-based methodology and expert survey, it provides a comprehensive overview of the clinical application of this technique, including its definition, indications and contraindications, technical considerations, and learning curve. As the first expert consensus focused on multi-arm robotic-assisted uniportal pulmonary resection, this consensus highlights the feasibility and developmental potential of the technique, which integrates existing robotic systems with uniportal minimally invasive principles. The consensus also offers theoretical and practical guidance for the standardized and safe implementation of the technique.

Transmission X-ray tubes are relatively new devices characterized by portability,suitability for miniaturization,and low requirements for shielding,making them ideal radiation sources for kilovoltage X-ray therapy.However,their application in radiotherapy remains underexplored.An electron target model of a transmission X-ray tube is developed using the Monte Carlo toolkit TOPAS 3.8.1.The study investigates the effect of tungsten target thickness on X-ray output efficiency,finding that a tube voltage of 50 kV and a tungsten thickness of 1.4 μm yields the highest emission efficiency.Based on the energy spectrum at this optimal efficiency,polynomial fitting approach is applied to determine the corresponding aluminum filter thickness for mean energies ranging from 20 keV to 35 keV,achieving a mean fitting error of 0.91%.Next,the study simulates dose deposition in a water phantom for spectra with different mean energies and various source-to-surface distances,and plots percent-depth-dose curves,relative normalized dose-depth curves,and relative normalized dose histograms under each treatment condition.Finally,the simulated results are compared with experimental data from the intraoperative radiotherapy system Intrabeam and the superficial X-ray therapy unit SRT-100,obtaining average relative errors of 3.71%and 4.38%,respectively.These findings provide a theoretical foundation for further optimization of transmission X-ray tubes in kilovoltage radiotherapy.

Radiofrequency ablation (RFA) is a minimally invasive treatment modality used as an alternative to surgery in patients with benign thyroid nodules, recurrent thyroid cancers (RTCs), and primary thyroid microcarcinomas. The Korean Society of Thyroid Radiology (KSThR) initially developed recommendations for the optimal use of RFA for thyroid tumors in 2009 and revised them in 2012 and 2017. As new meaningful evidence has accumulated since 2017 and in response to a growing global interest in the use of RFA for treating malignant thyroid lesions, the task force committee members of the KSThR decided to update the guidelines on the use of RFA for the management of RTCs based on a comprehensive analysis of current literature and expert consensus.

Objective: This study aimed to elucidate the hand function recovery capacity of degenerative cervical myelopathy (DCM) patients with different severities of hand dexterity impairment. Methods: Hand functional outcome measures such as the 10-second grip and release (10s-G&R) test, modified Japanese Orthopaedic Association (mJOA) upper extremity score and Japanese Orthopaedic Association Cervical Myelopathy Evaluation Questionnaire (JOACMEQ) upper extremity function were collected before surgery and at the 1-year follow-up. A total of 102 DCM patients were categorized into mild, moderate and severe group based on the preoperative 10s-G&R test result. Hand functional parameters were compared across the 3 groups. Multivariate linear regression was conducted to explore predictive factors. Receiver operating characteristic curve analysis was performed to assess the predictive efficacy of the preoperative 10s-G&R test and establish the cutoff value for incomplete recovery of hand dexterity. Results: At the 1-year follow-up, significant improvements were observed in all hand functional parameters across all 3 groups. However, the incomplete recovery rates of the mild, moderate, severe groups were 26.67%, 46.88%, and 57.50%, respectively (p < 0.05). Multivariate regression revealed that preoperative 10s-G&R test result, age, Hoffmann sign, duration of symptom, and mJOA Upper score serve as significant predictors for postoperative 10s-G&R test outcomes. Patients with a preoperative 10s-G&R test < 15 cycles have a 1.9 times higher risk of incomplete recovery of hand function (p = 0.005). Conclusion Most patients, regardless of their preoperative hand function, exhibit potential for improvement in hand dexterity. However, worse initial hand dexterity correlates with poorer outcomes. Surgical treatment is recommended before the 10s-G&R test drops below 15 cycles.

OBJECTIVE: Circadian rhythm disruption (CRD) is a risk factor that correlates with poor prognosis across multiple tumor types, including hepatocellular carcinoma (HCC). However, its mechanism remains unclear. This study aimed to define HCC subtypes based on CRD and explore their individual heterogeneity. METHODS: To quantify CRD, the HCC CRD score (HCCcrds) was developed. Using machine learning algorithms, we identified CRD module genes and defined CRD-related HCC subtypes in The Cancer Genome Atlas liver HCC cohort (n = 369), and the robustness of this method was validated. Furthermore, we used bioinformatics tools to investigate the cellular heterogeneity across these CRD subtypes. RESULTS: We defined three distinct HCC subtypes that exhibit significant heterogeneity in prognosis. The CRD-related subtype with high HCCcrds was significantly correlated with worse prognosis, higher pathological grade, and advanced clinical stages, while the CRD-related subtype with low HCCcrds had better clinical outcomes. We also identified novel biomarkers for each subtype, such as nicotinamide n-methyltransferase and myristoylated alanine-rich protein kinase C substrate-like 1. CONCLUSION We classify the HCC patients into three distinct groups based on circadian rhythm and identify their specific biomarkers. Within these groups greater HCCcrds was associated with worse prognosis. This approach has the potential to improve prediction of an individual's prognosis, guide precision treatments, and assist clinical decision making for HCC patients. Please cite this article as: Li XJ, Chang L, Mi Y, Zhang G, Zhu SS, Zhang YX, et al. Integrated-omics analysis defines subtypes of hepatocellular carcinoma based on circadian rhythm. J Integr Med. 2025; 23(4): 445-456.
Humans ; Carcinoma, Hepatocellular/pathology* ; Liver Neoplasms/pathology* ; Circadian Rhythm/genetics* ; Prognosis ; Male ; Female ; Biomarkers, Tumor/genetics* ; Middle Aged ; Machine Learning ; Computational Biology

OBJECTIVES: This study aimed to investigate the impact of foam macrophages (FMs) on the intracellular survival of Mycobacterium tuberculosis (MTB) and identify the molecular mechanisms influencing MTB survival. METHODS: An in vitro FM model was established using oleic acid induction. Transcriptomic and metabolomic analyses were conducted to identify the key molecular pathways involved in FM-mediated MTB survival. RESULTS: Induced FMs effectively restricted MTB survival. Transcriptomic and metabolomic profiling revealed distinct changes in gene and metabolite expression in FMs during MTB infection compared with normal macrophages. Integrated analyses identified significant alterations in the cyclic adenosine monophosphate (cAMP) signaling pathway, indicating that its activation contributes to the FM-mediated restriction of MTB survival. CONCLUSIONS FMs inhibit MTB survival. The cAMP signaling pathway is a key contributor. These findings enhance the understanding of the role of FMs in tuberculosis progression, suggest potential targets for host-directed therapies, and offer new directions for developing diagnostic and therapeutic strategies against tuberculosis.
Mycobacterium tuberculosis/physiology* ; Transcriptome ; Metabolomics ; Foam Cells/microbiology* ; Humans ; Metabolome ; Tuberculosis/microbiology* ; Gene Expression Profiling